ECEN 360: Computational Data Science

Course Description

Credits 3.
3 Lecture Hours.Computational practice of data science through a sequence of interactive modules that provides an integrated hands-on approach to its methods, tools, applications and supporting technologies including high performance and cloud computing platforms.Prerequisites:Grade of C or better inENGR 102,CSCE 110,CSCE 111, orCSCE 206; grade of C or better inMATH 251,MATH 253, orSTAT 211; junior or senior classification.Cross Listing:CSCE 305andSTAT 315.